Introduction to Inference

2. If we mistakenly reject a true null hypothesis, we've committed a Type-I ___.
4. Significance tests can have one or two of these.
5. One way to decrease the width of an interval is to ___ your confidence level.
7. The Greek letter for the significance level.
9. A numeric measure that describes a sample.
10. The 2nd part of a confidence interval is the ___ of Error.
11. The margin of error can be decreased by increasing the _____ size.
13. A description of all values a statistic takes on and the frequency of each value is a sampling ___.
14. A statistical tool for estimating a parameter is a confidence ___.
17. When we observe a sample value that is extremely unlikely under a null hypothesis, we say it is statistically ___.
18. The width of an interval is determined by the _____ level.
22. A numeric measure that describes a population.
23. Another name for the probability of observing a sample value at least as extreme as the null hypothesis

1. Failing to reject a false null is considered a Type ___ Error.
2. The 1st part of a confidence interval.
3. In order to calculate a confidence interval, you must find the standard _____ of the sampling distribution
6. If we calculate a low p-value, we ___ the null hypothesis.
8. The hypothesis for which we gather statistical evidence.
12. When we wish to test a claim about a parameter, we conduct a test of ___.
15. The size of the margin of error is determined by the sampling standard deviation and the ___ value.
16. The practice of using sample data to estimate a parameter or test a claim is called statistical ___.
19. The hypothesized claim about the parameter in the ___ hypothesis.
20. The probability of correctly rejecting a false null hypothesis is called the ___ of the test.
21. Inferential calculations depend upon an understanding of the ___ distribution.